Data Sharing for the Catchment Based Approach

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A presentation given to Rivers Trusts and Environment Agency WFD monitoring strategy team in September 2013.
Setting out the need for two-way information sharing between catchment partnerships and EA and the vision which we are trying to achieve through the CaBA support fund.

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  • Pilots year – all about community engagement and getting local input to the catchment planning process
  • RT have reviewed catchment plans from many of the pilots – common theme is the importance of data and information to: Identify solutions and inform strategic management Engage stakeholders, influence land owners and identify, explain and deliver ‘win-win’ outcomes Monitor outcomes and identify what is and isn’t working to feedback through the adaptive management loop
  • RT have reviewed catchment plans from many of the pilots – common theme is the importance of data and information to: Identify solutions and inform strategic management Engage stakeholders, influence land owners and identify, explain and deliver ‘win-win’ outcomes Monitor outcomes and identify what is and isn’t working to feedback through the adaptive management loop
  • RT have reviewed catchment plans from many of the pilots – common theme is the importance of data and information to: Identify solutions and inform strategic management Engage stakeholders, influence land owners and identify, explain and deliver ‘win-win’ outcomes Monitor outcomes and identify what is and isn’t working to feedback through the adaptive management loop
  • It’s not just about sharing data. Moving up the data continuum is about engaging people – if you build the understanding together then you can use the knowledge to influence behaviour – that’s when it becomes wisdom. For this to work it can’t just be about academics, consultants and specialists combining datasets and presenting outputs then expecting interventions to happen. Experience shows that if the end audience isn’t engaged at every stage, they don’t buy in to the modelling and so they don’t believe the outputs or understand the level of uncertainty, so providing access to data AND derived information AND knowledge is crucial.
  • Predicted outcomes and actual measured improvements need to be fed upwards for EA / Defra to monitor progress and also to report up to EU. No common templates / standards / frameworks for doing this currently – could be streamlined and made more effective.
  • EA CPS is in progress and will be a tool for reporting up to EU and pulling together the contents of the RB plans, and will also provide access route for external users to the WFD reporting info and the monitoring / evidence base. This will be important and useful information for stakeholder engagement and plan preparation BUT – catchment planning process generates a lot of data that is held externally to the EA: monitoring data, catchment investigations, reasons for failure, local knowledge, community desires and visions for their catchments, local contacts and the detailed measures, cost-benefit analyses, funding mechanisms, etc. There is no process for reporting measures up to the RBPs, there are few standards being adopted for data capture and storage which would enable true data and knowledge sharing solutions to be implemented and this will only get worse as the approach is rolled out to more catchments if we don’t act soon to develop a solution.
  • Our Vision We envisage an External Catchment Planning System, which would be owned and operated by the WFD co-delivery community, building on existing initiatives such as the DTC archive data models and vocabularies, to bring external datasets in to a future-proofed and INSPIRE-compliant archive, which could then serve out data in formats which would be compatible with EA reporting systems, and would allow publishing of Linked Data, and could complement and build on the work of other intiatives like the EVO and the CCM Hub.
  • NERC / Defra are talking about the idea of a meta modelling framework, which would pull many catchment and process models together and would streamline some of the third party IPR issues. (Not clear whether the EVO is a pilot for this?) - think of this as the Research Knowledge Base, which would pull data / information inputs from National Evidence Base and the Local Community Knowledge Base to run scenario modelling, to improve national models with local knowledge, and which would input back to those systems in terms of refining understanding of catchment management processes and outcomes.
  • This would really enable us to join up the loop and ensure that the feedback and monitoring will input to the future planning process. RISK = No action means duplication of effort in every catchment and no easy way of integrating actions, measures, outcomes, etc in to the river basin planning process. Action will need a lot of coordination and inevitably will need resourcing OPPORTUNITY = if we can devise a solution then we can build data and information management in to a true Adaptive Management catchment system
  • Reviewing current progress with data sharing from an RT perspective. National data sharing agreements for some key datasets (two-way sharing)
  • Great progress over last couple of years – much easier to access some key supporting information, and future access to monitoring and other datasets will be even easier through CPS
  • CPS External User Group – role is to identify end user requirements, but not JUST about EA CPS – the group should have a wider remit…
  • From RT perspective – we are moving ahead with our plans to develop data models and standards as well as tools and resources to collate and QA rivers trusts’ datasets. We will be partnering with FBA to use the DTC Archive as a platform. Our aim is for a standardised approach for some key datasets and to see these built in to the business processes of the individual trusts. This will be the basis on which we can then look to publish data in formats which would be INSPIRE compliant and which would allow us to develop innovative and exciting data products and applications, by combining our Linked Data with other LD from government and other external bodies. Key to the next steps is resolving the paralysing block on creativity and innovation that ‘third party’ Intellectual Property Rights issues cause….
  • How data, knowledge, models and tools fit in to the CaBA
  • From RT perspective – we are moving ahead with our plans to develop data models and standards as well as tools and resources to collate and QA rivers trusts’ datasets. We will be partnering with FBA to use the DTC Archive as a platform. Our aim is for a standardised approach for some key datasets and to see these built in to the business processes of the individual trusts. This will be the basis on which we can then look to publish data in formats which would be INSPIRE compliant and which would allow us to develop innovative and exciting data products and applications, by combining our Linked Data with other LD from government and other external bodies. Key to the next steps is resolving the paralysing block on creativity and innovation that ‘third party’ Intellectual Property Rights issues cause….
  • Data Sharing for the Catchment Based Approach

    1. 1. Data Sharing for the Catchment Based Approach Michelle Walker – Head of GIS & Data Management EA RT workshop, Exeter 5th Sept 2013 www.theriverstrust.org
    2. 2. • The Need for Information Sharing • Current Information Flow • Our Vision • Where are we now? • Where next?
    3. 3. The Need for Information
    4. 4. “Data and evidence are needed to inform strategic catchment management planning” The Need for Information
    5. 5. “Cooperation and data- sharing are a powerful way to achieve ‘win-win’ situations” The Need for Information
    6. 6. “Robust monitoring will help to assess which actions are most successful” The Need for Information
    7. 7. • Need to move from catchment data & information to knowledge & wisdom • All stakeholders need access • CaBA= engagement = opportunity to develop information sharing Sharing Information for a Catchment Based Approach Data Information Knowledge Wisdom Understanding relationships Understanding patterns Understanding principles High P values in stream P increases during high flows Source = diffuse agricultural runoff Engage farmers & deliver interventions The Need for Information
    8. 8. Waterbodies in Measures.xls with Rivers Trust involvement
    9. 9. Waterbodies with Rivers Trust River Improvement Fund Projects
    10. 10. Waterbodies with ongoing Rivers Trust River Improvement Fund Projects
    11. 11. Reporting Up The Need for Information
    12. 12. National Evidence Base Local Community Knowledge Base Current Information Flow
    13. 13. National Evidence Base Local Community Knowledge Base External Catchment Planning SystemExternal Catchment Planning System MonitoringMonitoring Local Knowledge Local Knowledge ActionsActions Our Vision
    14. 14. National Evidence Base External Catchment Planning SystemExternal Catchment Planning System MonitoringMonitoring Local Knowledge Local Knowledge ActionsActions Our Vision Catchment Modelling FrameworkCatchment Modelling Framework Third party datasets Third party datasets Model Outputs Model Outputs ScenariosScenarios Local Community Knowledge Base Research Knowledge Base
    15. 15. National Evidence Base External Catchment Planning SystemExternal Catchment Planning System MonitoringMonitoring Local Knowledge Local Knowledge ActionsActions Our Vision Catchment Modelling FrameworkCatchment Modelling Framework Third party datasets Third party datasets Model Outputs Model Outputs ScenariosScenarios Local Community Knowledge Base Research Knowledge Base
    16. 16. Where are we now? • National MOU & Data Sharing Agreement
    17. 17. Where are we now? • EA DataShare – WFD db – Environmental OpenData – OS Basemapping • Quarterly Updates – Consents – Incidents – Abstractions – BWQ
    18. 18. National Evidence Base Where are we now? • EA Catchment Planning System • External User Group: – identify ‘end user’ needs from the River Basin Planning and Catchment Management co- deliverer community
    19. 19. at all of the monitoring sites, excluding site 4. The Environment Agency's operational instruction manual ial: freshwater macro-invertebrate sampling in rivers). ried out at each site, followed by kick sampling using d. The net used was a standard 1mm mesh sampling disturbing the substrate by foot and capturing any eam with the flow into the sampling net. All available rtionately and for a total time of three minutes. er and then preserved using IMS (industrial methylated e bank side for dead invertebrates. cluding depth, substrate and flow type, a subjective nt observations were recorded. Estimates of algae and ng a 500-micron sieve and placed into a sorting tray. identified to species level with the exception of and Simuliidae, Sphaeridae and Chironomidae which g it impossible to identify other macro-invertebrates to on features missing. e to the each site. way of streams. ging from tolerate ave a low gh score. le is the P) score. er taxon) Figure 23: Macro-invertebrate sampling at BidneyFarm(Site 3). observed at Site 2 could be indicative of the more favourable habitat conditions as a result of WUF habitat restoration works. To substantiate these results, additional monitoring is recommended. The failure of the Tippets Brook to support a healthy fish population is attributed to the limited availability of suitable in-stream habitats, as a result of extensive channel modifications and agricultural diffuse pollution, causing elevated levels of in-stream sediment and nutrients. Figure26:Semi-quantative electro-fishsurveyat Tyrrell’sCourt, u s ingb a tterypo weredba ckpack equipment.
    20. 20. http://ccmhub.net/
    21. 21. http://www.facebook.com/UkMiniFishStu http://www.graylingresearch.org/citizen-science/log-book- scheme
    22. 22. http://www.riverflies.o
    23. 23. http://planttracker.naturelocator.org/
    24. 24. http://www.theriverstrust.org/catchment_mapping/index.html
    25. 25. http://ribblelife.org/all-river-places
    26. 26. Where next?
    27. 27. Information and Knowledge Sharing for the CABA 1. Build Partnerships Participatory working Maps for workshops Visualisation tools Access to local information 2. Characterise Watershed Catchment investigations Monitoring Modelling 3. Set goals – identify solutions Ecosystem services mapping Source apportionment Visualisation 4. Design implementation programme Catchment appraisal tool Scenario modelling Evidence base Visualisation tools 5. Implement plan Recording actions Monitoring 6. Measure progress Monitoring Modelling Visualisation RELU
    28. 28. Data to Information Officer Facilitator Hos t
    29. 29. Where next? • CaBA Support Fund - opportunity • Build data model, develop standards, adopt common vocabulary • Data collation and QA • Publish OpenData & Linked Data • Applications for collecting & sharing data • Tackle ‘third party’ IPR issues
    30. 30. Thank you for your attention michelle@theriverstrust.org

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